Zhihao Li1, John A. Sexton1, Gopikrishna Deshpande2, Xiaoping Hu1
Engineering, Emory University & Georgia Institute of Technology,
Using resting-state fMRI, support-vector-machine based multivariate pattern analysis recently shows capability of accurate predictions about brain maturity. However, with more information about inter-regional causal influences, effective connectivity may possess more power in characterizing the development of neural networks. The present study compared age prediction of these two approaches and showed a relatively better performance with effective connectivity.